Using Machine Learning to Improve Interest Inventory Hit Rates

Vocational counselors frequently use student career interests to suggest college majors they may wish to pursue. We provide an empirical comparison of statistical models used to predict a student's college major from their career interests. Cross-validated results show Random Forests obtain the highest hit rates (45%) for this prediction task.